Prepared specifically for
Todd Mowry and the Industrial Opportunity Partners Operations Team
Turning Portfolio Data Into Measurable Operating Action
A focused follow-up for Industrial Opportunity Partners: spend visibility, SIOP, and shop-floor execution that complement IOP’s operations-led model and remain useful after the engagement ends.
What We Heard
IOP’s model already puts experienced operating resources beside portfolio-company management teams. The opportunity is not another layer of advice; it is added capacity and specialized execution when the internal team is fully deployed or a situation calls for deeper analytical and hands-on support.
Todd described an operations group that works closely with management teams, Operating Principals, and deal professionals across IOP’s portfolio. The team values partners who can combine analysis with practical implementation—especially where plant information is fragmented, shop-floor systems are underused, or operating data is not clearly connected to KPIs and financial performance.
Delta Driver fits that requirement by organizing data from existing systems, converting it into decision-ready tools, and working alongside management to implement the resulting priorities. The objective is a usable management capability—not a stand-alone presentation.
Where Delta Driver Can Extend IOP’s Team
Targeted support in the areas discussed during the meeting.
Spend Cube Analytics
Unify purchasing data across suppliers, categories, locations, and time. Identify supplier fragmentation, inconsistent pricing, unmanaged tail spend, sourcing opportunities, and whether negotiated savings are sustained.
SIOP Analytics
Connect demand, inventory, capacity, labor, and financial priorities using the systems already available. Create a repeatable planning cadence that improves service, working capital, and operating alignment.
Shop-Floor Performance
Translate machine-level and operator-level information into action on downtime, yield, throughput, scrap, scheduling, and constraints—then verify root causes at the point of work before capital is committed.
MES and Redzone Utilization
Assess whether available production data is trusted and used, restore operating discipline around underutilized tools, and link shop-floor signals to accountable routines and financial outcomes.
Investment Validation
Test proposed equipment solutions against actual bottlenecks, production flows, and capacity requirements. Simulation, vendor evidence, and direct observation can reduce the risk of solving the wrong problem.
Embedded Value Creation
Provide experienced operating leadership and scalable analytical resources for defined initiatives. Delta Driver can expand or contract with the assignment and transfer the tools and routines to portfolio-company teams.
Spend Cube: The Most Direct Starting Point
The Spend Cube was the offering that originally caught Todd’s attention and became the most specific area of interest in the discussion.
Visibility designed to produce action
Delta Driver extracts and normalizes purchasing and payables data from ERP systems, spreadsheets, and site-level records, then classifies spend into a common structure.
Leadership can examine vendor, category, location, business-unit, and time-based patterns; prioritize sourcing and standardization opportunities; and monitor whether savings reach the bottom line.
Potential value across an industrial portfolio
- Normalize fragmented vendors and inconsistent transaction coding
- Separate strategic spend from MRO, services, freight, and tail spend
- Find like-SKU and supplier-consolidation opportunities
- Support RFQ, RFP, and supplier-performance decisions
- Connect purchasing behavior to inventory and margin performance
- Leave a refreshable Power BI tool in the portfolio company’s environment
- Create the foundation for cross-company trend and category insight where appropriate
SIOP and Shop-Floor Execution
For businesses where data is fragmented or operational systems are not fully embedded, Delta Driver connects management visibility with plant-floor action.
Demand, Inventory and Capacity
SIOP tools can begin with Excel, manual records, or tier-one ERP data. The model brings sales requirements, inventory policy, operating capacity, labor needs, and financial consequences into one decision process.
Data Confirmed at the Point of Work
Dashboards can reveal where to look, but equipment purchases and improvement priorities should be grounded in direct observation. Delta Driver combines machine-level data, constraint analysis, and operator knowledge to distinguish symptoms from root causes.
Relevant Work and Success Stories
Examples selected around the three areas requested in the meeting: spend analytics, SIOP, and shop-floor or food-manufacturing improvement.
Medical Manufacturer Spend Cube
Structured purchasing data to give leadership a clearer view of suppliers, categories, transaction patterns, and actionable sourcing opportunities.
View success story →Dental Products Manufacturer
Procurement and capital strategy support connecting analytical visibility with operating and investment priorities.
View success story →Food Manufacturer SIOP
A planning-focused example aligning operating requirements, inventory, capacity, and management decision-making.
View success story →Fresh Food Processor
Performance-improvement work centered on plant flow, operating discipline, throughput, and measurable execution.
View success story →Fresh Pet Food Launch
Hands-on operating support for a fresh-food manufacturing launch where execution, capacity, and cross-functional coordination were critical.
View success story →Meat Processor Due Diligence
Food-industry operating diligence applying manufacturing experience to capacity, risk, investment assumptions, and improvement potential.
View success story →Specific Relevance to Charcuterie Artisans
IOP’s stated operating thesis for Charcuterie Artisans includes operations and cost-structure improvement while supporting the company’s next phase of growth.
Delta Driver began in food manufacturing and was built on more than 25 years of experience in leading food companies as well as smaller, entrepreneurial operations. That foundation includes practical familiarity with USDA-regulated environments, food safety, yield, labor, packaging, throughput, sanitation, scheduling, and the realities of implementing change on an operating floor.
Based on the introduction discussion, areas that may merit a focused review include Redzone utilization, downtime categorization, yield losses, slicing and packaging constraints, and validation of planned equipment improvements. These are observations from the conversation—not conclusions about the business.
A measured way to begin
- Review the available Redzone and operating data
- Confirm how downtime and yield losses are classified
- Observe the affected equipment and production routines
- Validate identified fixes and capital assumptions
- Quantify the operational and financial opportunity
- Support implementation only where additional help is useful
A Practical Engagement Model
Scaled to a specific portfolio-company need and designed to work with, not around, management.
Frame
Define the business question, available data, decision owners, and value at stake.
Diagnose
Combine analytics, management input, and observation at the point of work.
Implement
Translate findings into owned actions, operating routines, and measurable outcomes.
Sustain
Leave refreshable tools, trained users, and controls that keep the gains visible.
*All phase durations are an average implementation time.
Thank You for the Introduction
We appreciated the opportunity to learn how IOP’s Operations team supports its portfolio companies. Delta Driver would welcome the chance to serve as a trusted, flexible resource when an initiative requires added bandwidth, specialized analytics, or hands-on implementation—particularly in spend visibility, SIOP, food manufacturing, and shop-floor performance.